Pandas ExtensionArray for storing Period data.
Users should use period_array() to create new instances.
The data to store. These should be arrays that can be directly
converted to ordinals without inference or copy (PeriodArray,
ndarray[int64]), or a box around such an array (Series[period],
The freq to use for the array. Mostly applicable when values
is an ndarray of integers, when freq is required. When values
is a PeriodArray (or box around), it’s checked that values.freq
A PeriodDtype instance from which to extract a freq. If both
freq and dtype are specified, then the frequencies must match.
Whether to copy the ordinals before storing.
Create a new PeriodArray.
Immutable Index for period data.
There are two components to a PeriodArray
ordinals : integer ndarray
freq : pd.tseries.offsets.Offset
The values are physically stored as a 1-D ndarray of integers. These are
called “ordinals” and represent some kind of offset from a base.
The freq indicates the span covered by each element of the array.
All elements in the PeriodArray have the same freq.